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  <div class="section" id="numpy-char-chararray-itemset">
<h1>numpy.char.chararray.itemset<a class="headerlink" href="#numpy-char-chararray-itemset" title="Permalink to this headline">¶</a></h1>
<p>method</p>
<dl class="method">
<dt id="numpy.char.chararray.itemset">
<code class="sig-prename descclassname">chararray.</code><code class="sig-name descname">itemset</code><span class="sig-paren">(</span><em class="sig-param">*args</em><span class="sig-paren">)</span><a class="headerlink" href="#numpy.char.chararray.itemset" title="Permalink to this definition">¶</a></dt>
<dd><p>Insert scalar into an array (scalar is cast to array’s dtype, if possible)</p>
<p>There must be at least 1 argument, and define the last argument
as <em>item</em>.  Then, <code class="docutils literal notranslate"><span class="pre">a.itemset(*args)</span></code> is equivalent to but faster
than <code class="docutils literal notranslate"><span class="pre">a[args]</span> <span class="pre">=</span> <span class="pre">item</span></code>.  The item should be a scalar value and <em class="xref py py-obj">args</em>
must select a single item in the array <em class="xref py py-obj">a</em>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>*args</strong><span class="classifier">Arguments</span></dt><dd><p>If one argument: a scalar, only used in case <em class="xref py py-obj">a</em> is of size 1.
If two arguments: the last argument is the value to be set
and must be a scalar, the first argument specifies a single array
element location. It is either an int or a tuple.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Notes</p>
<p>Compared to indexing syntax, <a class="reference internal" href="#numpy.char.chararray.itemset" title="numpy.char.chararray.itemset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">itemset</span></code></a> provides some speed increase
for placing a scalar into a particular location in an <code class="xref py py-obj docutils literal notranslate"><span class="pre">ndarray</span></code>,
if you must do this.  However, generally this is discouraged:
among other problems, it complicates the appearance of the code.
Also, when using <a class="reference internal" href="#numpy.char.chararray.itemset" title="numpy.char.chararray.itemset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">itemset</span></code></a> (and <a class="reference internal" href="numpy.char.chararray.item.html#numpy.char.chararray.item" title="numpy.char.chararray.item"><code class="xref py py-obj docutils literal notranslate"><span class="pre">item</span></code></a>) inside a loop, be sure
to assign the methods to a local variable to avoid the attribute
look-up at each loop iteration.</p>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">123</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span>
<span class="go">array([[2, 2, 6],</span>
<span class="go">       [1, 3, 6],</span>
<span class="go">       [1, 0, 1]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">itemset</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span><span class="o">.</span><span class="n">itemset</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="mi">9</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span>
<span class="go">array([[2, 2, 6],</span>
<span class="go">       [1, 0, 6],</span>
<span class="go">       [1, 0, 9]])</span>
</pre></div>
</div>
</dd></dl>

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